Logistic Regression in OpenCV
Logistic regression is a simple but popular machine learning algorithm for binary classification that uses the logistic, or sigmoid, function at its core. It also comes implemented in the OpenCV library.
In this tutorial, you will learn how to apply OpenCV’s logistic regression algorithm, starting with a custom two-class dataset that we will generate ourselves. We will then apply these skills for the specific image classification application in a subsequent tutorial.
After completing this tutorial, you will know:
- Several of the most important characteristics of the logistic regression algorithm.
- How to use the logistic regression algorithm on a custom dataset in OpenCV.
Kick-start your project with my book Machine Learning in OpenCV. It provides self-study tutorials